International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
NSDI (figure 2). One of the key components of NSDI is the
National Spatial Data Clearinghouse. OMB (1992) defines the
National Spatial Data Clearinghouse as an electronic service
providing access to documented spatial data and metadata from
distributed data sources. These sources include a network of
data producers, managers, and users, linked through the Internet
and other communications means, and accessible through a
common interface. All spatial data collected by federal agencies
or their agents, will be made available through the
Clearinghouse. Spatial data users will have access to the NSDI
through the National Spatial Data Clearinghouse.
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Figure 2. Components of NSDI.
One of the very first countries with an NSDI initiative was the
US. Altough there had been related works before, the US NSDI
has been officially started in 1994 by the famous executive
order of Clinton [FR, 1994]. NSDI has gained a great interest
since then. The NSDI is now a well documented and highly
active research area. There are plenty of Web sites such as
FGDC (2004) and CGDI (2004), and numerous studies such as
MSC (1993) and McLaughlin and Nichols (1994). Furthermore,
NSDIs are underway in may countries.
Being the way to interoperability, NSDI is valuable in many
respects. One On the other hand, NSDI will create new market
and job opportunities, which is crucial for the countries of a
high unemployment rate like Turkey. There are many projects
underway for Canadian Geospatial Data Infrastructure (CGDI,
2004) and for the US NSDI. And these projects are just for
building NSDI. There will also be market opportunities and
projects of high economical and social value which will be
viable via NSDI. One such project is the new real estate taxation
system envisioned by Cómert and Akinci (2002). Another one
is the e-local government which has also been implemented
(Comert and Akinci, 2003). As already implied, NSDI is a must
for the recently popular e-government and e-business. NSDI
will be a major component of e-government. Because, almost
80 percent of all the information is spatial. Consider the
involvement of Land Title and Cadastre data for instance.
3.1.1 A scenario in the current implementation
Imagine a scenario of generating a Zoning Plan Form (ZPF).
ZPFs are one the most popular documents since they are the
3.1 Current NSDI implementations
Current NSDI implementations can be categorized as either
"data-cenrtric^ or "human-centric". They are data-centric in
that they are designed to locate and transfer the desired data.
They are “human-centric” because they are designed in a way
that the user controls the workflow. It is not easy, for instance,
to locate some data from the US Clearinghouse [FGDC, 2004]
and make it “usable” for a client system. The same is true for
the Canadian CGDI (Geoconnections, 2004) and United
Kingdom’s National Geospatial Data Framework (NGDF)
(Gigateway, 2004). US NSDI has recently initiated Geospatial
One-Stop, an E-Gov initiative providing access to geospatial
data and information. GOS was operational in June 2003.
However even GOS is a “human-centric” implementation.
Actually, CGDI intents to employ Web services in its
implementation (CGDI, 2001) and there are around 200 K
Canadian projects like “smartbroker” (CGDI, 2004) to adopt
web services. However the services envisioned are rather
general, they have to be detailed.
How one carries out his job in a “human-centric” web is
explained below with the help of a scenario.
very first step of many activities. For instance, obtaining a
ZPF is the first step in getting a building permit. ZPFs are
given by the Zoning Plan Offices (ZPO) of municipalities
upon the request of the “interested” which might be citizens,
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